Evaluating Time Series and Neural Network Techniques for Predictive Modelling

This dissertation explores the multifaceted global impact of the COVID-19 pandemic, highlighting its unprecedented disruption to healthcare systems, economies, and societies across the world. It investigates the role of predictive modelling as a vital instrument in forecasting future pandemic trends, thereby supporting governments and healthcare organisations in making informed strategic decisions.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29691737.v1
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Evaluating Time Series and Neural Network Techniques for Predictive Modelling

Figshare
Neural Networks and Applications
article

Evaluating Time Series and Neural Network Techniques for Predictive Modelling

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Abstract

This dissertation explores the multifaceted global impact of the COVID-19 pandemic, highlighting its unprecedented disruption to healthcare systems, economies, and societies across the world. It investigates the role of predictive modelling as a vital instrument in forecasting future pandemic trends, thereby supporting governments and healthcare organisations in making informed strategic decisions.

Figshare
Good health and well-being
Openalex Percentile: Top 77%
Neural Networks and Applications
DOISourceOpenAlex
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